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Course Criteria
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3.00 Credits
The overall goal of the course is to (1) understand how mass, momentum, energy, and charge are stored and transported at the microscopic level for gases, liquids, and solids, (2) learn how to calculate the common thermodynamic and transport properties (e.g. diffusivity,viscosity, heat capacity, thermal conductivity) from microscopic principles, (3) understand how transport properties are modi?ed in nanoscale systems, and (4) understand the operational principles of common energy conversion devices.
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1.00 - 12.00 Credits
No course description available.
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1.00 - 12.00 Credits
No course description available.
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1.00 - 9.00 Credits
No course description available.
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1.00 - 6.00 Credits
Experimental investigation conducted for the purpose of contributing new useful data and theory in some field of mechanical engineering. Although supervised, investigation is Independent Study in character to encourage development of initiative.
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3.00 Credits
Consists of two main parts: (i) advanced nonlinear state estimatmion such as extended Kalman filtering, particle filtering, and (ii) sensor modeling and fusion. This course emphasizes the application of estimation theory to mobile robot motion estimation (odometry, inertial,laser scan matching, vision-based) and path planning, map representations, map-based localization, simultaneous localization/mapping (SLAM), and multi-robot cooperative navigation. PREREQ: MEEG677.
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3.00 Credits
Examines current topics in biomechanics research including musculoskeletal modeling, muscle physiology, anthropometric analysis, biomedical imaging techniques, neural control of movement, and/or clinical biomechanics. Students will be immersed in the current literature through discussions, presentations, and papers with an aim to make them fluent with the state-of-the-art issues in this field.
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1.00 - 12.00 Credits
No course description available.
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3.00 Credits
Introduce the fundamentals of nonlinear optimization theory and methods. Provide a unified analytical and computational approach to nonlinear optimization problems covering a range of topics. Provide a comprehensive treatment of optimality conditions, Lagrange multiplier theory, and duality theory. Applications will be focusing on control, communications, power systems, and resource allocation problems.
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3.00 Credits
Integral transform and Green's Function Solution of Partial Differential Equations, complex variables, variational calculus and introduction to perturbation methods. PREREQ: MEEG690
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